Learn practical skills, build real-world projects, and advance your career

STEP 1: SELECTION OF REAL WORLD DATA SET

dataset_url = 'https://www.kaggle.com/rohanrao/nifty50-stock-market-data?select=HCLTECH.csv' 
import opendatasets as od
od.download(dataset_url)
Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds Your Kaggle username: dattu98 Your Kaggle Key: ········
0%| | 0.00/18.4M [00:00<?, ?B/s]
Downloading nifty50-stock-market-data.zip to .\nifty50-stock-market-data
100%|█████████████████████████████████████████████████████████████████████████████| 18.4M/18.4M [00:07<00:00, 2.65MB/s]
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

STEP 2: PERFORMING DATA PREPARATION AND CLEANING